1972 search results - page 19 / 395 » Hidden semi-Markov models |
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
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JMLR
2012
13 years 3 days ago
2012
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
86
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FLAIRS
2006
14 years 11 months ago
2006
Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
NIPS
2001
14 years 11 months ago
2001
The hierarchical hidden Markov model (HHMM) is a generalization of the hidden Markov model (HMM) that models sequences with structure at many length/time scales [FST98]. Unfortuna...
NAACL
1994
14 years 11 months ago
1994
This paper introduces a class of statistical mechanisms, called hidden understanding models, for natural language processing. Much of the framework for hidden understanding models...